Regression Model Performance Report. Target: 'price_log'

Reference: Model Quality (+/- std)

-0.0 (0.14)

ME

0.1 (0.1)

MAE

0.76 (0.01)

MAPE

Current: Model Quality (+/- std)

0.0 (0.18)

ME

0.13 (0.12)

MAE

0.98 (0.01)

MAPE

Reference: Predicted vs Actual
Current: Predicted vs Actual
Reference: Predicted vs Actual in Time
Current: Predicted vs Actual in Time
Reference: Error (Predicted - Actual)
Current: Error (Predicted - Actual)
15k16k17k18k19k20k21k−1−0.500.51
Predicted - ActualIndexError
Reference: Absolute Percentage Error
Current: Absolute Percentage Error
15k16k17k18k19k20k21k024681012
Absolute Percentage ErrorIndexPercent
Reference: Error Distribution
Current: Error Distribution
Reference: Error Normality
−4−2024−1−0.500.51
Dataset QuantilesTheoretical QuantilesTheoretical QuantilesDataset Quantiles
Current: Error Normality
−4−2024−1−0.500.511.5
Dataset QuantilesTheoretical QuantilesTheoretical QuantilesDataset Quantiles
Reference: Mean Error per Group (+/- std)

-0.0 (0.09)

Majority(90%)

-0.3 (0.09)

Underestimation(5%)

0.34 (0.12)

Overestimation(5%)

Current: Mean Error per Group (+/- std)

-0.0 (0.12)

Majority(90%)

-0.38 (0.12)

Underestimation(5%)

0.43 (0.16)

Overestimation(5%)

Reference: Predicted vs Actual per Group
1112131415161213141516
UnderestimationOverestimationMajorityActual valuePredicted value
Current: Predicted vs Actual per Group
1213141512131415
UnderestimationOverestimationMajorityActual valuePredicted value
Error Bias: Mean/Most Common Feature Value per Group
Feature
Type
REF: Majority
REF: Under
REF: Over
REF: Range(%)
CURR: Majority
CURR: Under
CURR: Over
CURR: Range(%)
bathroomsnum2.061.911.830.882.242.262.033.5
sqft_livingnum2050.291971.091857.990.862147.062335.692073.093.4
yr_builtnum1967.231958.731956.531.921979.561968.321964.63.23
sqft_abovenum1747.181689.221577.641.241881.881986.361747.723.09
longnum-122.21-122.23-122.251.25-122.21-122.22-122.252.52
sqft_living15num1972.811890.241823.871.162017.732068.971932.762.37
latnum47.5647.5547.550.0647.5647.5647.550.76
sqft_basementnum303.11281.87280.350.03265.19349.33325.370.68
bedroomsnum3.363.273.210.573.43.343.290.13
gradecat7770.07770

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